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Geoffrey Hinton
Results: 92

#	Item
41	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes Vinod Nair, Josh Susskind, and Geoffrey E. Hinton Department of Computer Science University of Toronto, Toronto, Ontario, Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-01-11 17:49:24
42	Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-07-12 15:03:08
43	Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-06-05 20:44:53 Probability and statistics Boltzmann machine Latent variable Generative model Mixture model Unsupervised learning Statistical classification Independent component analysis Statistics Statistical models Machine learning
44	SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-03-01 16:37:24 Science Artificial neural network Boltzmann machine Recurrent neural network Feedforward neural network Backpropagation Speech recognition Hidden Markov model Early stopping Neural networks Machine learning Cybernetics
45	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-10-31 17:33:50 Markov models Statistical models Data analysis Neural networks Speech recognition Hidden Markov model Boltzmann machine Principal component analysis Covariance matrix Statistics Probability and statistics Machine learning
46	Mach Learn DOIs10994Visualizing non-metric similarities in multiple maps Laurens van der Maaten · Geoffrey Hinton Add to Reading List Source URL: homepage.tudelft.nl Language: English - Date: 2012-01-02 09:10:58 Psychometrics Market research Multidimensional scaling Semantic similarity Similarity Visualization Statistics Multivariate statistics Science
47	Generating Text with Recurrent Neural Networks Ilya Sutskever James Martens Geoffrey Hinton University of Toronto, 6 King’s College Rd., Toronto, ON M5S 3G4 CANADA Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2011-05-11 22:05:53 Science Recurrent neural network PAQ Feedforward neural network Boltzmann machine Backpropagation through time Backpropagation Types of artificial neural networks Long short term memory Neural networks Cybernetics Neuroscience
48	On the importance of initialization and momentum in deep learning Ilya Sutskever1 James Martens George Dahl Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-14 14:30:22 Mathematics Mathematical optimization Stochastic gradient descent Convex optimization Gradient descent Backpropagation Perceptron Gradient method Autoencoder Neural networks Numerical analysis Applied mathematics
49	Chris J. Maddison http://www.cs.toronto.edu/∼cmaddis/ Academic Career Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-05-19 10:05:59 Higher education in Canada Department of Computer Science Natural Sciences and Engineering Research Council University of Toronto Maddison Science and technology in Canada Artificial intelligence Science Canada Research Chairs Fellows of the Royal Society Geoffrey Hinton
50	Deep Boltzmann Machines as Feed-Forward Hierarchies Gr´ egoire Montavon Machine Learning Group TU Berlin Add to Reading List Source URL: gregoire.montavon.name Language: English - Date: 2012-02-14 06:18:21 Artificial intelligence Autoencoder Boltzmann machine DBm Geoffrey Hinton Deep learning Neural networks Machine learning Science